Discovering Links between Geospatial Data Sources in the Web of Data

The Open Geospatial Engine Approach

Bibliographic Data

ID22031217
AuthorsLianlian He (Hubei University of Education, corresponding author), Ruixiang Liu (0009-0008-3469-5273, Wuhan University)
Year2024
Volume13
Issue5
Pages143
Publication date2024-04-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi13050143
OpenAlexW4396229109
LanguageEN
References cited23

The Web of Data has been fueled significantly by geospatial data over the last few years. In the current link discovery frameworks, there is still a lack of robust support for finding geospatial-aware links between geospatial data sources in the Web of Data. They are also limited in efficient association capabilities for large-scale datasets. This paper extends the data integration capability based on the spatial metrics in the open geospatial engine OGE. These metrics include topological relationships and spatial matching between geospatial entities within multiple geospatial data sources. Thus, the tool can be employed by data publishers to set geospatial-aware links to facilitate geospatial data and knowledge discovery in the Web of Data. Several geospatial data sources are used to demonstrate the usability and effectiveness of the approach and tool implementation

Data element · Data science · Database · Geography · Geospatial analysis · Geospatial metadata · Geospatial PDF · Information retrieval · Linked Data · Metadata · Open source · Remote sensing · Semantic Web · The Internet · Web 2.0 · Web Coverage Service · Web mapping · World Wide Web · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Semantic Web and Ontologies

Tools

Open DOIOpen Access